Advances in Possible Orders of Circulant Hadamard Matrices, and Sequences with Large Merit Factor
Jason Hu1 Brooke Logan2
1Department of Mathematics University of California, Berkeley
2Department of Mathematics Rowan University
August 7, 2014 Outline
Introduction Circulant Hadamard Matrices The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results New Family of Binary Sequences Note: A generalization of Galois sequences New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Autocorrelations
Definition (Aperiodic Autocorrelation) of a sequence of length n at shift k, 0 ≤ k < n is
n−1−k X ck = ai a¯i+k i=0
Definition (Periodic Autocorrelation) of a sequence of length n at shift k, 0 ≤ k < n is
n−1 X γk = ai a¯i+kmod(n) i=0 Barker Sequences
Definition A barker sequence is a binary sequence {a0, a1, ...an−1} of length n such that when calculating the sequence’s aperiodic autocorrelation at shift k = 0, c0 = n and for shift ranging from 1 ≤ k < n the aperiodic autocorrelation is |ck | ≤ 1 Example ({1, 1, −1})
3−1−0 X c0 = ai ai+0 = 1(1) + 1(1) + (−1)(−1) = 3 i=0 3−1−1 X c1 = ai ai+1 = 1(1) + 1(−1) = 0 i=0 3−1−2 X c2 = ai ai+2 = 1(−1) = −1 i=0 Barker Sequence! Barker Conjecture
There exists no Barker sequence of n > 13
Proven for
n of odd length 33 even n = 3979201339721749133016171583224100 or n > 4 ∗ 10 (P. Borwein & M. Mossinghoff, 2014) Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Circulant Hadamard Matrices
Definition (Hadamard Matrix) T An n × n matrix H of ±1 where HH = nIn
Definition (Circulant Matrix) A matrix where each row after the first row is one cyclic shift to the right of the previous row. Example (Circulant Hadamard Matrix)
+++- − + + + + − + + + + − + Circulant Hadamard Matrices
Definition (Hadamard Matrix) T An n × n matrix H of ±1 where HH = nIn
Definition (Circulant Matrix) A matrix where each row after the first row is one cyclic shift to the right of the previous row. Example (Circulant Hadamard Matrix)
+++- + − + + 4 0 0 0 − + + + + + − + 0 4 0 0 · = + − + + + + + − 0 0 4 0 + + − + - + + + 0 0 0 4 Relationship between Barker sequences and Circulant Hadamard matrices
Definition (Circulant Hadamard Conjecture) There exists no Circulant Hadamard Matrix with n > 4
Barker Sequence ⇒ small aperiodic autocorrelations ⇒ small periodic autocorrelations ⇒ Circulant Hadamard Matrix Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Restrictions
By Definition of a Hadamard Matrix
Must be a multiple of 4 (or n = 1, 2)
Turyn, 1965
assuming n>2 then 2 n = 4m m is odd m cannot be a prime power more to come n = 4m2
When searching in a given bound M:
m = p1p2...pu ≤ M (1)
Theorem (Turyn) 2 1 p ≤ (2M ) 3 n = 4M2
When searching in a given bound M:
p1 → p2 → ... → p1 Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Links
Ascending: q→p
q < p and qp−1 ≡ 1 mod p2
Descending: p→q
q < p and pq−1 ≡ 1 mod q2
Flimsy: p q q|(p − 1) Types of Ascending Pairs
Different Cases q p Worst Case Scenario 13 Previous Search M = 10 1 M 2 3 q < p ≤ min( q , (2M ) ) M = 5 ∗ 1014
Double Wieferich Prime Pair q p
M 2 1 q < p ≤ min( , (2M ) 3 ) q
Theorem (W. Keller & J. Richstein ) q 2 Let p1 be a primitive root of the prime q and define p2 = p1 mod q . m 2 Then {p2 mod q : m = 0, 1, .., q − 2} represents a complete set of incongruent solutions of pq−1 ≡ 1(mod q2), each of which generates an infinite sequence of solutions in arithmetic progression with difference q2
pq−1 ≡ 1 mod q2 Example
q = 83
p1 = PrimitiveRoot(q) = 2
Primitive root generator of the multiplicative group mod p q 2 p2 = p1 mod q = 1081 m 2 q−3 p2 mod q , m = 0, 1, .., 2 m 2 2 Even case: a = (p2) + q and b = q − a m 2 Odd Case: a = (p2) and b = 2q − a 2 a, a + 2q , ... ,
m = 37 ⇒ a = 4871 Ascending and Flimsy q → p and p q
M 2 1 q < p ≤ min( , (2M ) 3 ) 3q q|(p − 1) qp−1 ≡ 1(mod p2) Special Ascending
Double Wieferich Prime Pairs Ascending and Flimsy 3 1006003 3 → 1006003 5 1645333507 5 → 20771 83 4871 5 → 53471161 911 318917 13 → 1747591 2903 18787 44963 → 5395561 Strictly Ascending
(3→11→71→3)→...→(q→p) r → q → p → r Strictly Ascending
M q < p ≤ 3∗11∗71∗q
r → q → p → r Strictly Ascending
M q < p ≤ 3∗11∗71∗q
M q < p ≤ r∗q
M q < p ≤ q2 Strictly Ascending
1 M M M 2 3 q < p ≤ min(max(3∗11∗71∗q , r∗q , q2 ), (2M ) ) Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons 1: List A and List B = All primes in Ascending Pairs 2: while Length B > 0 do 3: for p ∈ B do 4: for All Primes, q, such that 3 ≤ q < p do 5: if pq−1 ≡ 1 mod q2 then 6: Add (p, q) to solid link list and add q to T 7: else if q|(p − 1) then 8: Add (p, q) to flimsy link list and add q to T 9: end if 10: end for 11: end for 12: B = T /A, A = A ∪ B, and Clear T 13: end while Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Comparing results
M Bound 1013 5 ∗ 1014 Vertices 643931 15342 Ascending 59837 6616 Descending 1673025 33935 Flimsy 1729116 33264 Creating Circuits
Johnson’s Circuit Finding Algorithm and Augmenter= 501630
F Test 13 M = 10 cycles 2064 14 M = 5 ∗ 10 cycles 6683
Turyn Test
Leung Schmidt Test Theorem 1,5,10 F-Test Leung and Schmidt 2005
vp(m) = multiplicity of p in factorization of m Q mq = q-free and squarefree part of m: mq = p|m,p6=q p p−1 b(p, m) = maxq|m,q≤p{vp(q − 1) + vp(ordmq (q))} 2 Q b(p,m) F (m) = gcd(m , p|m p )
Theorem If n = 4m2 is the order of a circulant Hadamard matrix, then F (m) ≥ mφ(m) Turyn Test
Definition a is semi-primitive mod b: aj ≡ −1 mod b for some j Definition r is self-conjugate mod s: For each p|r, p is semi-primitive mod the p-free part of s. Theorem If n = 4m2 is the order of a Circulant Hadamard Matrix, r|m, s|n, gcd(r, s) has k ≥ 1 distinct prime divisors, and r is self-conjugate mod s, then rs ≤ 2k−1n Turyn Test
Theorem If n = 4m2 is the order of a Circulant Hadamard Matrix, r|m, s|n, gcd(r, s) has k ≥ 1 distinct prime divisors, and r is self-conjugate mod s, then rs ≤ 2k−1n
Lm = {p1, p2, ..., pu}
Ln = {2, 2, p1, p2, ..., pu, p1, p2, ..., pu}
Let α ∈ Lm and β ∈ Ln Take α ∩ β If rs > 2k−1n and r self-conjugate mod s ->throw it out Cycles that Fail
Length Starting Value Turyn LS5 LS10 LS1 Surviving 2 5 5 - - - 0 3 59 50 0 0 0 9 4 296 192 5 1 9 87 5 915 6 1744 7 1946 8 1229 9 430 10 59 1st New Cycle! m=10010975913705 Largest m value cycle found m=499317956344211 Barker
Given (p, q), both p and q must be ≡ 1 mod 4 Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Merit Factor d−1 Given a sequence A = {ak }k=0 of length d, recall that the aperiodic autocorrelation at shift u is
n−d−1 X cu = aj aj+u j=0
Definition The merit factor of A is defined to be d2 MF (A) = Pd−1 2 2 u=0 |cu|
Engineering Application: measures how large peak energy of a signal is compared to total sidelobe energy Binary vs Polyphase
Binary and polyphase sequences with large merit factor are useful!
Binary sequence
Values in {+1, −1} No known infinite family of sequences for which merit factor grows without bound
Polyphase sequence 2πi q Values in {e N | q ∈ Z}, for some fixed N Known families of sequences with unbounded (polynomial) merit factor growth Motivation: Barker Sequences - Binary Sequences with Best Merit Factor?
Barker sequences appear to have the largest merit factors relative to the length of the sequence. MF 14
12
10
8
6
4
2
Length 2 4 6 8 10 12
Sadly, no Barker sequence of length N > 13 is known to exist. Merit Factor Problem
Let An be the set of all binary sequences of length n. Definition
Fn := max MF (A), A∈An the maximal value of the merit factor among sequences of length n.
Open Question (The Merit Factor Problem)
What is lim supn→∞ Fn? Families of Binary sequences with Large Merit Factor
Asymptotically, merit factor of these sequences is a relatively large constant:
Legendre: 3 Galois: 3 Rudin-Shapiro: 3
Rotated Legendre: 6 Rotated and truncated Legendre: 6.34
Such infinite families are relatively hard to find Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons A generalization of Galois sequences
Galois sequences - binary sequences based on canonical additive characters of Galois extensions of F2
We extend to other prime bases (yielding polyphase sequences) and observe similar behavior
Definition For prime p and m ≥ 2, consider the Galois extension Fpm over Fp. The relative trace of Fpm over Fp is
Tr: Fpm −→ Fp m−1 X j β 7−→ βp j=0 2πi ∗ Let ζ = e p , and θ be a primitive element of the group (Fpm ) . Definition The canonical additive character of Fpm is given by
χ: Fpm −→ Fp c 7−→ ζTrc
Then the generalized Galois sequence of length pm with respect to θ is given by the coefficient sequence of the polynomial
pm−2 X i i Yp,m,θ(z) = χ θ z i=0 Conjecture m Let yp,m,θ denote the generalized Galois sequence of length p with respect to θ. We conjecture that for a fixed prime p, we have
lim MF (yp,m,θ) = 3 m→∞ and for a fixed exponent m, we have
lim MF (yp,m,θ) = 3 p→∞ A New Family
based on rows of certain matrices
Definition A Walsh matrix is a square matrix of dimension 2k for some integer k ≥ 1, defined recursively via
1 1 1 1 1 1 1 −1 1 −1 H1 = H2 = 1 −1 1 1 −1 −1 1 −1 −1 1
Hk−1 Hk−1 Hk = = H1 ⊗ Hk−1 Hk−1 −Hk−1 Dimension 21
1 2
1 1
2 2
1 2 Dimension 22
1 2 3 4
1 1
2 2
3 3
4 4
1 2 3 4 Dimension 24
1 5 10 16
1 1
5 5
10 10
16 16
1 5 10 16 Dimension 28
1 100 200 256 1 1
100 100
200 200
256 256 1 100 200 256 Dimension 210
1 500 1024 1 1
500 500
1024 1024 1 500 1024 Above ordering for Walsh Matrix is natural
Corresponds to the Hadamard Transform (without normalization), equivalent to a multidimensional discrete Fourier transform (DFT) of size 2 × 2 × · · · × 2 | {z } n times
We use different ordering due to Bespalov, 2009 Definition A Walsh matrix in Bespalov ordering is a square matrix of dimension 2k for some integer k ≥ 1, defined recursively via
1 1 1 1 1 1 1 −1 −1 1 V1 = V2 = 1 −1 1 −1 1 −1 1 1 −1 −1
Vn−1 Vn−1Pn−1 Vn = Pn−1Vn−1 −Pn−1Vn−1Pn−1, n n where Pn is a 2 × 2 {0, 1}-matrix with 1 on the secondary diagonal.
New family of binary sequences constructed by concatenating rows of Walsh matrices in Bespalov ordering Dimension 21
1 2
1 1
2 2
1 2 Dimension 22
1 2 3 4
1 1
2 2
3 3
4 4
1 2 3 4 Dimension 24
1 5 10 16
1 1
5 5
10 10
16 16
1 5 10 16 Dimension 28
1 100 200 256
1 1
100 100
200 200
256 256
1 100 200 256 Dimension 210
1 500 1024
1 1
500 500
1024 1024
1 500 1024 Dimension 212
1 1000 2000 3000 4096
1 1
1000 1000
2000 2000
3000 3000
4096 4096
1 1000 2000 3000 4096 Experimental Results
Merit factors of Walsh sequences in Bespalov enumeration, length 22n n MF 1 4.00000 2 3.20000 3 3.04762 4 3.01176 5 3.00293 6 3.00073 7 3.00018 8 3.00005 Experimental Results
6 Simulated annealing (10 trials) on the matrix row order did not find any better rearrangements
Conjecture
Let {Bn} denote the family of sequences defined via Bespalov’s enumeration of Walsh matrices. Then
lim MF (Bn) = 3 n→∞ Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons L4 norms of polynomials
Provides other viewpoint for Merit Factor Problem n−1 For each binary (resp. polyphase) sequence {ak }k=0, can form polynomials with binary (resp. unimodular) coefficients
n−1 X k fn = ak z k=0
Definition p Let p ≥ 1. For a polynomial f ∈ C [z], its L norm on the complex unit circle is given by
1/p 1 Z 2π p iθ kf kp = f (e ) dθ 2π 0 L4 norm vs. Merit Factor
Let f ∈ C [z] be of degree d − 1 with coefficient sequence A. By Parseval’s Theorem, write
2 kf k2 = d
Since z = 1/z on the unit circle,
d−1 d−1 4 2 X u 2 X 2 kf k4 = kf (z)f (z)k2 = cuz = d + 2 |cu| u=1−d u=0
Thus d2 kf k4 MF (A) = = 2 Pd−1 2 kf k4 − kf k4 2 u=0 |cu| 4 2 A question due to Littlewood
Question 4 4 How slowly can kpnk4 − kpnk2 grow for a sequence of polynomials {pn} with unimodular coefficients and increasing degree? Theorem (Schmidt, 2013)
For the sequence {hN } of polynomials given by
N−1 N−1 X X jk jN+k hN (z) = ζ z , j=0 k=0 where ζ = e2πi/N , we have
4 4 khN k4 − khN k2 4 lim 3 = 2 . N→∞ khN k2 π A New Family of Polynomials
Definition 2πi πi For each integer N ≥ 1, write ζ = e N , ω = e N . Define a new family 2 of polynomials {fN }, where fN is of degree N − 1, given by
N−1 N−1 X X jN+k fN (z) = x(jN+k)z , j=0 k=0 where ( ζjk (−ω)j+k , if N is even xjN+k = ζjk (−ω)j (−1)k , if N is odd Same asymptotic behavior as that of {hN }: Proposition
4 4 kfN k4 − kfN k2 4 lim 3 = 2 N→∞ kfN k2 π Outline of Proposition
Use Schmidt’s method for determining the asymptotic behavior of the L4 norm:
4 Specializing our previous formula for the L norm,
N−1 N−1 4 4 X X 2 kfN k4 = N + 2 |cuN+v | u=0 v=0 Outline of proposition
(Long) algebraic manipulations on the second sum to obtain Lemma
sin2 (2k−1)π X X 2N N4 − N2 + 8N if N is even sin2 πv N 1≤k≤v N 4 1≤v≤ 2 kfN k4 = sin2 (2k−1)π X X 2N N4 + 8N if N is odd sin2 πv N−1 1≤k≤v N 1≤v≤ 2 Use an analytic bound to conclude Lemma For N ≥ 1, we have
2 2k−1 X X sin π 4 8N 2N = N3 + O(N2) sin2 πv π2 N 1≤k≤v N 1≤v≤ 2
Thus
4 4 4 4 kfN k4 − kfN k2 kfN k4 − N 4 lim 3 = 3 = 2 . N→∞ kfN k2 N π Open Question Does there exist a sequence of polynomials with unimodular 4 coefficients whose normalized asymptotic L4 norm is less than ? π2 Introduction Circulant Hadamard Matrices
The Search for Circulant Hadamard Matrices Restrictions on n Ascending Wieferich Prime Pairs Descending Wieferich Prime Pairs Comparing results
New Family of Binary Sequences Note: A generalization of Galois sequences
New Family of Polyphase Sequences L4 norms of polynomials Merit Factor Comparisons Some Other Polyphase Sequences with Large Merit Factor Growth Rate
2 A few length N sequences {xjN+k }0≤j,k xjN+k = exp(πiφj,k ) where for P1 Sequences: φj,k = −(N − 2j − 1)(jN + k)/N Corrected Px Sequences: ( [(N − 1)/2 − k][N − 2j − 1] /N if N is even φj,k = [(N − 2)/2 − j][N − 2k − 1] /N if N is odd Frank sequences: φj,k = 2jk/N (coeff. sequences of Schmidt’s {hN } above) Comparison with other polyphase sequences MF 60 50 40 30 20 10 Length 5 10 15 20 Figure : Merit Factor of Sequences vs. Square Root of Length Blue: New, Corrected Px Orange: Frank, P1 Red: P3, P4, Golomb, Chu Experiments on Lower Order Terms Numerical calculations indicate that asymptotic behaviors of new/Px sequences and Frank sequences agree for order N2. 1.1 Conjectured that difference is at order about N Goals and Future Work Binary merit factor conjectures: Walsh sequences in Bespalov ordering and generalized Galois sequences Finding other binary sequences with large asymptotic merit factor Does there exist an increasing sequence of polynomials with unimodular coefficients whose normalized asymptotic L4 norm is 4 less than ? π2 The Merit Factor Problem: does the maximal value of the merit factor among sequences of length n have a limit as n grows without bound? Any Questions? Acknowledgement We would like to thank Professor Michael Mossinghoff ICERM and the NSF Brown University Center for Computation and Visualization TAs Helpful comments from Dat Nguyen and Paxton Turner Bibliography (1) [BCJ04] Peter Borwein, Kwok-Kwong Stephen Choi, and Jonathan Jedwab. Binary sequences with merit factor greater than 6.34. IEEE Trans. Inform. Theory, 50(12):3234–3249, 2004. [Bes09] M. S. Bespalov. A new enumeration of Walsh matrices. Problemy Peredachi Informatsii, 45(4):43–53, 2009. [Bes10] M. S. Bespalov. The discrete Chrestenson transform. Problemy Peredachi Informatsii, 46(4):91–115, 2010. Bibliography (2) [BM00] Peter Borwein and Michael Mossinghoff. Rudin-Shapiro-like polynomials in L4. Math. Comp., 69(231):1157–1166, 2000. [BM08] Peter Borwein and Michael J. Mossinghoff. Barker sequences and flat polynomials. In Number theory and polynomials, volume 352 of London Math. Soc. Lecture Note Ser., pages 71–88. Cambridge Univ. Press, Cambridge, 2008. 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